Novel Process Monitoring Approach Enhanced by a Complex Independent Component Analysis Algorithm with Applications for Wastewater Treatment-Reference-Cited by-同舟云学术

Novel Process Monitoring Approach Enhanced by a Complex Independent Component Analysis Algorithm with Applications for Wastewater Treatment

Published:2021-09-17 Issue:38 Volume:60 Page:13914-13926
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Xu Chong¹²^ORCID,Huang Daoping¹,Li Dong¹,Liu Yiqi¹³

Affiliation:

1. School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China

2. School of Physics & Electronic Information, Gannan Normal University, Ganzhou 341000, China

3. Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, Building 229, 2800 Kongens Lyngby, Denmark

Funder

National Natural Science Foundation of China

Guangdong Technology International Cooperation Project Application

Fundamental Research Funds for the central Universities, SCUT

Guangdong Basic and Applied Basic Research Foundation

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.1c01990

Reference42 articles.

1. A Mixture of Variational Canonical Correlation Analysis for Nonlinear and Quality-Relevant Process Monitoring

2. Data-driven performance analyses of wastewater treatment plants: A review

3. PCA-ICA Integrated with Bayesian Method for Non-Gaussian Fault Diagnosis

4. A Review on Basic Data-Driven Approaches for Industrial Process Monitoring

5. Process Monitoring Based on Independent Component Analysis−Principal Component Analysis (ICA−PCA) and Similarity Factors

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